Content-based Image Retrieval by Indexing Random Subwindows with Randomized Trees
Raphaël Marée, Pierre Geurts, Louis A. Wehenkel · IPSJ Transactions on Computer Vision and Applications · 2009
We propose a new method for content-based image retrieval which exploits the similarity measure and indexing structure of totally randomized tree ensembles induced from a set of subwindows randomly extracted from a sample of images.We also present the possibility of updating the model as new images come in, and the capability of comparing new images using a model previously constructed from a different set of images.The approach is quantitatively evaluated on various types of images and achieves high recognition rates despite its conceptual simplicity and computational efficiency.